Evidence map›Paper›PMID 40292003›Full record

ArticleFrontiers in sociology2024

Access to justice for Ethiopian migrant domestic workers: unveiling legal, structural, and gendered violence in Lebanon.

Banchi Yimer, Tsigereda Birhanu, Francisca Ankrah, Debora Asfaw, Omar Taleb, Jasmin Lilian Diab

Abstract read
In one paragraph

Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Banchi YimerEgna Legna Besidet, Beirut, Lebanon.
Tsigereda BirhanuEgna Legna Besidet, Beirut, Lebanon.
Francisca AnkrahEgna Legna Besidet, Beirut, Lebanon.
Debora AsfawEgna Legna Besidet, Beirut, Lebanon.
Omar TalebEgna Legna Besidet, Beirut, Lebanon.
Jasmin Lilian DiabInstitute for Migration Studies, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the barriers to legal access faced by Ethiopian migrant domestic workers (MDWs) in Lebanon, highlighting the legal violations they endure. The research encompasses all phases of criminal cases, from initial investigations to trial and verdict issuance. Utilizing a diverse methodology, the study draws on a sample of judgments from Egna Legna Besidet's Legal Program, qualitative interviews with 66 Ethiopian MDWs, and insights from 10 key informants and five legal experts. Ethical considerations, including a trauma-informed approach and thorough anonymization, were paramount. Findings reveal that MDWs encounter systemic injustices and insurmountable barriers within the Lebanese legal system, exacerbated by societal prejudices, exorbitant recruitment fees, language barriers, and limited legal awareness. The Kafala sponsorship system and restrictive immigration policies further hinder their legal navigation. Discriminatory attitudes, lack of legal safeguards, and inadequate support from embassies and consulates perpetuate a cycle of exploitation and abuse. The initial investigation stage is fraught with coercion and procedural violations, while trials and verdicts often lack fairness and adequate evidence. The study calls for comprehensive legal reforms, better enforcement of existing laws, accessible information, legal aid, and multi-stakeholder collaboration to dismantle these barriers and ensure justice for MDWs.

Indexed as

accessjusticeKafalaLebanonlegal frameworksmigrant laborprotection

Identifiers

PMID40292003
PMCPMC12021835

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.